2021
AAAI
AAAI 2021
Perception Beyond Sensors Under Uncertainty
Abstract
Abstract My research aims to enable spatiotemporal inference in mobile robot perception systems. Specifically, the proposed thesis presents learning-based approaches to the tasks of behavior prediction and occlusion inference that explicitly account for the associated aleatoric and epistemic uncertainty.
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Interdisciplinary Bridge
— Artificial Intelligence and Machine Learning and Robotics
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Keyword Pioneer
— occlusion inference
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Hot Topic Early Bird
— epistemic uncertainty
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio